Originally posted by Artol
Were there some predictions you shared on KMC we could go back to to see the veracity of the model?
Yes.
Originally posted by dadudemon
New York has tested 138K people as of today.[b]Mortality Rate: 0.4%
(this is the actual mortality rate and it is still too high because it is still oversampling people who are presenting with symptoms or people who had primary exposure (exposed to someone who was confirmed with COVID-19). This number is within my model with a Mortality rate of .3%-.6%. However, I was corrected by another statistician and the rate is likely less than .1%. I am probably wrong if we go by Iceland's numbers.Case Fatality Rate: 1.3% <-The number being dishonestly represented in the media as the mortality rate.
https://twitter.com/NYGovCuomo/status/1243561528466399233 [/B]
Here's where I acknowledge my model might be wrong but I was wrong about how it was wrong: the R0 was higher AND it just kept spreading and spreading and didn't die down.
Originally posted by dadudemon
Trump states we have tested 1,000,000 Americans, today, in his daily press briefing:https://www.katc.com/news/coronavirus/coronavirus-task-force-holds-monday-news-conference
One million.
Guess what mortality rate that puts the US as?
.3%.
Looks like I'm wrong but in a good way. Looks like the fatality rate is lower than .3% and my model was off. I think my RO is still too low, too. Just went with the wrong outcome.
Here's where I make a direct reference on the original data set I created my model after (the cruise ship data). Note, my R0 was still wrong at this point:
Originally posted by dadudemon
When I did the model based on the cruise ship data, I used an aggressive RO (part of why it looks like my mortality rate results are too high). But it's not that much lower and COVID-19 spreads quickly, like the rhinovirus but not as severe as rhinovirus (cold).Part of my point has been the lockdown stuff was too late to the game and we needed to have done that at the end of Feb.
I've been tracking this data, daily, for about 2 weeks, now. CFR is close to 2%.
Here's where I entertain the notion that the R0 is not 1.5-1.8, that it could be much greater. It's when I started to realize my model was going to start being wrong. That was April 3rd and my model was still right and IHME's was much worse than my model.
Originally posted by dadudemon
Wow, this is crazy. This makes it even worse than I thought but far less deadly than my model. I am definitely more than happy to admit a mortality rate of .1% or less because that's good news for the entire world.But that puts the R0 beyond even the worst rhinovirus cases of an R0 at 5+
Finally, here's the juicy stuff where I get into some my model's details. I become quite confident because I'm on a "correct" streak, being right day after day on the deaths. Their model was way way off and we never hit 2600 daily deaths. But my model was off, as well. And my predictions fell off because the R0 value was actually 2.5-2.8. However, I was still closer to being right. lol
Originally posted by dadudemon
Here is a great site about projections:https://covid19.healthdata.org/projections
Running my numbers against theirs will be great.
They are projecting 2600+ deaths on April 16th and April 16th is supposed to be the apex.
They also predict that by May 1st, we will have 68,000 total deaths.
My predictions are:
1. We will hover are around 1,100 daily deaths for several days and slowly drop with an average margin of +-300.
2. By May 1st, we will have 20,000 to 25,000 deaths. That's because my model predicts daily death rates from .85 to 1.1 and theirs is much more aggressive. I also suggested we hit near population saturation before the lockdowns got crazy 2-3 weeks ago. If the lockdowns were effective, we would have seen significant drops in the last 6 days, now, but we haven't.
Let's see who's right. Obviously, all of us would hope in me being correct because that means we hit way more less dead. If I'm wrong, I'm wrong, however.
Feel free to mess around with a free online tool (but mine is my own in Excel):
https://gabgoh.github.io/COVID/index.html
Next, a few days later, my model is still on track to be accurate and theirs is wrong:
Originally posted by dadudemon
Update:
Today's deaths are 1,255. My #1 prediction still holds true. NY shows signs of flattening. Daily new cases is also still less than 2 days ago.Hope these predictions still hold true.
Also, that site also halved their number of beds needed, which is interesting. They could have done that days ago but maintained their overly inflated numbers. Why?
Here's where my model fails and the data no longer matches it:
Originally posted by dadudemon
Nice. I didn't adjust mine. But mine would probably reflect a similar spike on the date they have.Huge spike yesterday and my model was off.
The spike was so large that there has to be something about it somewhere in the data. What happened 14-21 days ago? The mass quarantines and lockdowns which "inspired" people to freak out and go shopping. Which caused the exposure of people who may not have been exposed. Which caused a spike in deaths. If we are supposedly near or at saturation, then those that were not exposed yet, for whatever reason, are vulnerable.
Finally, after adjusting my model, it was still wrong by April 15th and I complain about not being able to figure out where I went wrong but mine was still more accurate the IHME:
Originally posted by dadudemon
Yesterday, record deaths. Massive spike.But why? I cannot explain this data. Social distancing, lockdowns, and shelter in place policies. So why the spike?
Here are my original predictions and IHME's:
IHME was still way way off at the time and my predictions were still closer to accurate than theirs. Readjusting my model may have been a bad idea because it turned out to be "accurate" again but the spikes are just hard to explain and represent.
So there's the journey where I was right for weeks. Then a little bit wrong. Then consistently wrong as the decline I predicted never happened until I adjust a longer exposure period and then increased the R0.
Also, I stopped keeping that model up to date because I cannot account for the second wave. My final figures for 2020 were 188k deaths because I predicted a slight uptick in November and December as the flu and cold season starts again. But I later found out that the coroanvirus season doesn't get in full swing until March so that model is wrong even thought my total deaths for 2020 may still be accurate.